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Update app.py
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app.py
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@@ -1,10 +1,14 @@
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import os
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import gradio as gr
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from google import genai
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# Setup the
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api_key = os.environ.get("GOOGLE_API_KEY")
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client = genai.Client(
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SYSTEM_PROMPT = """
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You are 'The Mentor.' Your personality is a mix of Terence Fletcher (Whiplash) and a Stoic Philosopher.
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@@ -15,21 +19,24 @@ Task: Critique the user's daily goals. Demand clarity. No excuses.
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def mentor_chat(message, history):
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try:
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#
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response = client.models.generate_content(
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model="gemini-1.5-pro",
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config=
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contents=message
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)
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return response.text
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except Exception as e:
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# Simplified UI - no 'theme' to cause errors
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demo = gr.ChatInterface(
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fn=mentor_chat,
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title="The Elite Performance Mentor",
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description="
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)
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if __name__ == "__main__":
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import os
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import gradio as gr
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from google import genai
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from google.genai import types
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# Setup the Client with the "v1" Stable API
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api_key = os.environ.get("GOOGLE_API_KEY")
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client = genai.Client(
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api_key=api_key,
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http_options=types.HttpOptions(api_version='v1')
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)
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SYSTEM_PROMPT = """
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You are 'The Mentor.' Your personality is a mix of Terence Fletcher (Whiplash) and a Stoic Philosopher.
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def mentor_chat(message, history):
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try:
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# We are calling the Pro model specifically here
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response = client.models.generate_content(
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model="gemini-1.5-pro",
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config=types.GenerateContentConfig(
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system_instruction=SYSTEM_PROMPT,
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temperature=0.7
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),
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contents=message
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)
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return response.text
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except Exception as e:
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# If Pro fails, it will tell us why (likely region or billing)
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return f"🚨 MENTOR ERROR: {str(e)}"
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demo = gr.ChatInterface(
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fn=mentor_chat,
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title="The Elite Performance Mentor (PRO)",
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description="Running on Gemini 1.5 Pro. Show me your vision, or get out."
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)
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if __name__ == "__main__":
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